Adriano AMATI

Qualifica
Dottorando
Dottorato
ECONOMIA
38° Ciclo - Immatricolati nel 2022
Area tematica
Political Economy; Machine Learning; Applied Microeconometrics
Supervisore
Di Cataldo Marco / Brugiavini Agar
E-mail
adriano.amati@unive.it
956718@stud.unive.it
Sito web
www.unive.it/persone/adriano.amati (scheda personale)
Struttura
Dipartimento di Economia
Sito web struttura: https://www.unive.it/dip.economia

Education:

Bachelor in Economics & Business Economics, Maastricht University (2014-2017)

Master in International Trade, Finance & Development, Barcelona Graduate School of Economics (2018-2019)

Master in Economics, Collegio Carlo Alberto (2019-2020)

 

Working Experience:

Trainee, European Investment Bank (2020, 2021)

Research Assistant, Università di Torino (2021, 2022)

Phd candidate in Ca' Foscari, 2022-present

Area of interest: Political Economy, Machine Learning, Causal Inference

Supervisior Professors: Marco Di Cataldo, Agar Brugiavini